ISO country LT

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the behavioral burden. It does disclose that task text is discarded and that it returns four specific artifacts, which is useful. However, it omits details such as side effects, authentication needs, rate limits, or whether any external network calls are made; the 'pay-per-call' phrase hints at cost but is not explained.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is brief and front-loaded with the core purpose. The second sentence about discarded task text is a meaningful privacy/behavior note, not filler. It loses one point for introducing 'task text' without elaboration, but overall it is efficient.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with nine optional parameters, no annotations, and no output schema, the description is too thin. It does not explain why so many different parameter types exist, which one to use, whether any is expected, or how the returned artifacts relate to the parameters. The agent is left to infer invocation behavior from the schema alone.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the baseline is 3. Each parameter is individually described, mostly as discarded or validated. The tool description itself does not connect any of the nine parameters to the gateway lookup, and 'task text' is mentioned without a corresponding schema field.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description identifies a clear verb ('Find') and a specific resource ('public pay-per-call tool gateway (Monid)'), and enumerates what it returns. This distinguishes it from the sibling validation/fetch tools, though it does not explicitly contrast itself with any sibling.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The usage context is only implied: an agent would use this when it needs Monid's CLI setup, how-it-works, skill file, or remote MCP hops. There is no explicit when/when-not guidance or mention of alternatives, but the purpose itself gives a reasonable hint.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of behavioral disclosure. It does disclose the important trait that no browser is launched, but it omits other behavioral details such as whether a network request is made, what the return value indicates, or how invalid URLs are handled. This is too sparse for a tool with no annotation support.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two short sentences with the core purpose first and the clarifying caveat second. There is no fluff or repetition. It is appropriately sized for a simple tool, though additional behavioral context would be welcome in a longer but still structured form.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Despite having 9 parameters and no output schema, the description does not explain what 'ok' means, what the tool returns, or how the URL is checked. The schema clarifies parameter meanings, but the overall invocation semantics remain under-specified. An agent could not confidently predict the tool's behavior beyond 'no browser is launched.'

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, and each of the 9 parameters has its own description in the schema, including notes about being discarded. The tool-level description adds no parameter-specific meaning, but it does not need to because the schema already documents each parameter. This meets the baseline for high schema coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a clear verb and resource: 'Check whether a URL can be opened.' The phrase 'No browser is launched' helps distinguish it from sibling tools like playwright-url-ok. However, 'can be opened' is slightly ambiguous—it does not specify whether this is a syntax check, a network check, or some other validation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies this tool is for lightweight URL checking without launching a browser, which is useful context against playwright-url-ok. However, it does not explicitly state when to prefer this tool over alternatives like normalize-url, fetch-status, or web-fetch. No exclusions or alternative selection criteria are provided.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are present, so the description carries the full burden. 'Expression discarded' discloses that input is not retained, but it does not state return values, error behavior, side effects, or whether evaluation succeeds/fails.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two short sentences with no filler; the operation is front-loaded and 'Expression discarded' adds a behavioral note without waste. It is concise, though perhaps too sparse given the parameter mismatch.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With nine optional parameters, no output schema, and no annotations, the description leaves too much unresolved: which parameter carries the expression and what the tool returns. An agent cannot reliably call this tool from the definition alone.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Although the schema has 100% description coverage for its nine parameters, none of them is identified as the arithmetic expression, and the description doesn't map 'a+b' to any field. This creates a real invocation gap for the agent.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific operation (evaluate) on a specific resource (a+b-style arithmetic expression), which is enough to distinguish the tool's core intent. 'Expression discarded' also clarifies the stateless nature, but it doesn't explicitly position it against sibling shape-check tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use calc-eval versus sibling shape-check/validation tools, and no exclusions or prerequisites. The only hint is the one-sentence purpose, which leaves tool selection entirely to inference.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description must carry the transparency burden. It does disclose one relevant behavior, that page content is not stored, which is useful for a URL-inspection tool. It does not mention network side effects, redirects, timeouts, or how inputs are handled beyond the schema.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two short sentences, front-loaded with the primary action and outcome. Every phrase earns its place and there is no redundant restatement of the tool name or schema.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool exposes nine optional parameters of very different kinds, no output schema, and no annotations, yet the description explains nothing about how those parameters relate to the URL operation. An agent is left to infer which parameters are relevant and what the tool does with the rest.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the schema already documents all nine parameters, including which are discarded. The description adds only that the operation is URL-centric, which is a light confirmation rather than new parameter-level meaning.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific output (host, scheme, and HTTP status) for a URL and adds a meaningful privacy characteristic, so an agent can tell roughly what the tool does. It does not, however, connect this to the tool name 'citation' or explicitly differentiate it from sibling tools like fetch-status or normalize-url.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance about when to choose this tool over the many sibling URL-related tools, nor any exclusions or prerequisites. The only contextual hint is 'Page content is not stored,' but it is not framed as a selection criterion.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full behavioral burden. It does disclose a meaningful behavioral trait: 'No identifiers are retained,' reinforced by schema notes that several inputs are discarded. However, it does not explain what the classification operation does with inputs beyond discarding them, whether it involves external calls, or what the response contains.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is very short, front-loads the main action in the first sentence, and the second sentence adds a distinct privacy guarantee. Every word earns its place, though it is terse to the point of being under-explanatory.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

This is a 9-parameter tool with no annotations and no output schema, yet the description gives no sense of how the parameters combine, what classification means, or what result shape to expect. The schema descriptions help, but the overall definition is incomplete for an agent deciding whether and how to invoke it correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, and each parameter's purpose is documented directly in the input schema (e.g., 'discarded after the shape check', 'normalize or cite', 'discarded after the length check'). The description adds no parameter-level meaning, but per the baseline for high schema coverage, 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific action ('Show how this request is classified') and a conceptual resource ('this request'), which is clearer than a tautology. However, it never defines what classification categories or outputs are involved, and it does not distinguish itself from sibling tools like domain-shape, fetch-status, or geo-hint that could all plausibly classify aspects of a request.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No usage context is provided. The description does not say when to choose 'compatibility' over any sibling tool, nor does it mention any prerequisites, exclusions, or alternative tools. The privacy note is useful but does not guide invocation timing.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations exist, so the description alone must carry the burden of behavioral disclosure, and it only contributes the negative constraint 'without WHOIS or ownership data.' It does not state that inputs are discarded after checks, that no parameters are required, whether any network/DNS access occurs, or what the return value is. The schema's per-parameter notes ('discarded after the shape check', 'no disk access') hint at discard semantics, but the tool-level description stays silent on these traits.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is one front-loaded sentence with no filler: 'Split a hostname into labels without WHOIS or ownership data.' Every word earns its place. However, for a tool with nine parameters, no annotations, and no output schema, the brevity edges toward under-specification rather than disciplined conciseness, which keeps it from a 5.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool is complex — nine optional parameters, no output schema, and a large sibling family — so the description carries a heavy completeness burden and falls short. It does not say which parameter to populate, what happens to the other eight inputs, what the tool returns, or when it is preferable to the -shape/-ok siblings. Only the schema's parameter notes partially compensate.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% — every one of the nine parameters has its own description — so the baseline is 3. The tool description adds no parameter-level meaning and aligns only with the 'host' parameter ('Public hostname'), leaving the semantics of the other eight parameters entirely to the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific verb and resource — 'Split a hostname into labels' — and adds a scope qualifier, 'without WHOIS or ownership data.' However, the schema exposes nine unrelated accepted inputs (ref, url, city, feed, json, path, zone, query) that are all described as discarded, so the description covers only a fraction of the tool's actual surface and does not help an agent tell it apart from the -shape/-ok sibling family. The core statement is clear, but the description-schema mismatch is significant.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no statement of when to call this tool instead of the many similar siblings (figma-url-shape, github-repo-shape, jira-key-shape, file-path-ok, wiki-title-ok, browser-url-ok). The phrase 'without WHOIS or ownership data' weakly implies a purely syntactic use case, but no explicit conditions, exclusions, or alternative tool names are provided. An agent gets essentially no guidance for tool selection.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description discloses the core behavior: it uses the HEAD method, targets a public URL, and returns no body content. However, it does not mention redirect handling, failure behavior, timeouts, or the exact representation of the returned status.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is one tightly written sentence with no filler. The key action (HEAD) and the key output constraint (status only) are front-loaded, making it easy to scan.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with nine optional parameters, no required parameters, no output schema, and no annotations, a single sentence is insufficient. The agent is not told which parameter to supply, what the status response looks like, or how errors are surfaced, and the broad optional schema makes invocation ambiguous.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the baseline is 3. The description itself adds no parameter guidance, and the schema's url description ('HTTPS URL to normalize or cite') is somewhat inconsistent with the HEAD action, creating mild ambiguity about which parameter is actually the fetch target.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states a specific operation: perform an HTTP HEAD on a public URL and return only the status. The phrase 'status only' differentiates this from content-fetching siblings like web-fetch and browser-url-ok.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies when to use the tool—when only a URL status check is needed—but it does not explicitly state alternatives or exclusion criteria. It does not tell the agent when to prefer fetch-status over web-fetch, normalize-url, or status-catalog.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden of behavioral disclosure. 'Path discarded' hints that something is ignored, but it is ambiguous whether it means the URL path or the `path` input parameter. The description does not disclose whether the tool is purely local, what it returns, or what validation rules apply to Figma URLs.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely short and free of filler, with the core action front-loaded. However, 'Path discarded' is terse to the point of ambiguity and could mislead an agent, so it does not earn a 5.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

This tool has 9 parameters, 0 required fields, no annotations, and no output schema, yet the description is only two sentences. It does not explain how the Figma URL parsing relates to the unrelated parameters like city, feed, zone, and query, nor does it describe return values or invocation expectations. This is inadequate for an agent to confidently call the tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, and each parameter already has a one-line description, so the baseline is 3. The tool description adds no additional parameter meaning and fails to clarify which parameter should hold the Figma URL, but because the schema is self-documenting, the score remains at the baseline.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a clear verb and resource: 'Parse a Figma file URL.' This makes the core purpose understandable and distinguishes it from generic URL tools. However, it does not mention the output or what 'shape' means, and it doesn't explicitly contrast with sibling URL tools, so it stops short of a 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance about when to prefer this tool over siblings like normalize-url, browser-url-ok, or web-fetch. The description gives no context for selection and offers no exclusions, which is a meaningful gap given the large set of similar URL-oriented sibling tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of behavioral disclosure. It usefully states 'No disk access,' indicating this is a side-effect-free, in-memory shape check. However, it does not explain return behavior, error cases, or what makes a path 'safe,' leaving important behavioral details unstated.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two short sentences with no filler. The primary action is front-loaded, and the important side-effect disclaimer follows immediately. Every word contributes meaning.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

There is no output schema, so the description should explain what the tool returns or how it signals safety; it does not. The input schema includes nine mostly unrelated properties, yet the description refers only generically to 'a path,' leaving ambiguity about which parameter is actually relevant. This is under-specified for a tool with no annotations and no output schema.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so each parameter already has its own description. The tool description adds only the general 'path' framing and does not clarify which of the many schema properties is the intended 'path.' Since the schema already documents parameters, the description adds minimal value beyond the baseline.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a clear verb and resource: 'Check whether a path looks safe.' It also adds a distinguishing behavioral note, 'No disk access,' which helps separate it from real filesystem operations. However, 'safe' is somewhat vague, and the relationship to similarly named sibling tools like browser-url-ok is implied rather than explicit.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives no guidance on when to use this tool versus alternatives. It does not mention suitable conditions, exclusions, or compare against any sibling tool. The only usage signal is the imperative 'Check,' which weakly implies validation use.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden of behavioral disclosure. It mentions the Open-Meteo dependency but says nothing about output format, errors, side effects, or that most schema parameters are discarded after checks. The schema descriptions hint at discarded inputs, but the main description does not.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, front-loaded sentence with no filler or unnecessary detail. It is concise, though the brevity sacrifices needed usage and parameter guidance.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a 9-parameter tool with no annotations and no output schema, this description is too thin. An agent cannot reliably determine which input to provide, what the return value looks like, or why the other optional parameters exist, so the tool is not fully callable from the description alone.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the baseline is 3 and each parameter already has a description. The main description adds only the high-level 'place' concept but does not identify which parameter should be used for that place or how the parameters relate to latitude and longitude.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states the tool returns latitude and longitude for a place via Open-Meteo, which is a recognizable geocoding purpose. However it lacks an explicit verb and does not reconcile with the 9-parameter schema, where no parameter is clearly labeled as the 'place' and 'city' is described as a weather hint. It is only weakly differentiated from siblings like weather-hint.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this tool versus alternatives, which parameter to provide, or what kind of input counts as a 'place.' The description implies geocoding use, but the schema's many generic optional parameters make the intended selection criteria unclear.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description bears the full burden of behavioral disclosure. It only says 'Parse' and does not mention return format, validation/error behavior for non-GitHub URLs, or whether the unrelated schema fields (city, feed, json, path, query) are ignored. The schema hints at discarding inputs, but the description itself leaves side effects and output behavior opaque.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, front-loaded sentence with no wasted words. However, it is quite terse given the 9-parameter schema and could carry more useful context without becoming verbose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With nine optional parameters, no annotations, and no output schema, the description is under-specified. It does not explain what the parsed owner/repo looks like, what happens for invalid URLs, or how the many unrelated schema fields relate to this tool. An agent would need to infer or experiment to use it reliably.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the baseline is 3 even though the description adds no per-parameter detail. The description does clarify that the relevant input is a GitHub URL, which helps disambiguate the generic 'url' schema description, but it never names which of the nine optional parameters should be populated or acknowledges that the other parameters appear irrelevant. This is adequate but not exemplary.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb ('Parse') and a specific resource ('owner and repo from a GitHub URL'), making the tool's core function immediately identifiable. It also distinguishes this from sibling shape tools like domain-shape and jira-key-shape by naming GitHub and the extracted fields. No ambiguity about the high-level purpose.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives no guidance on when to choose this tool over alternatives such as normalize-url, browser-url-ok, or the other *-shape tools. It does not state that it is limited to GitHub URLs or that other URL-related tasks should use a sibling. Usage is only implied by the tool name and the one-line description.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden of behavioral disclosure. It only says titles are discarded; it does not state the return value shape, whether a feed or URL parameter is required, whether live network access is involved, or any error or rate-limit behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short and front-loaded, with no filler. The fragment 'Titles discarded' is terse and slightly cryptic, but it does add a useful constraint; integrating it more clearly would improve the structure.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

There is no output schema and no annotations, so the description needs to explain return values and calling context. It fails to say what the tool returns beyond 'Count', which optional parameters apply, or how the count is obtained, leaving the wide 9-parameter schema confusing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so each parameter is already documented and the baseline is 3. The tool description does not map its purpose to any of the 9 optional parameters, but the schema itself provides the parameter-level meanings.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a concrete action ('Count') on a specific resource ('current Hacker News front-page stories'), so the core purpose is clear. It does not explicitly distinguish from sibling tools or clarify the role of the 'Titles discarded' fragment, but the primary operation is unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The intended use is implied: invoke when a count of Hacker News front-page stories is needed, and 'Titles discarded' hints that this tool is not for retrieving story titles. However, no alternatives are named and no explicit when-not-to-use conditions are given.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden of behavioral disclosure. It discloses no behavior: it does not state that the tool returns a static list, whether parameters are ignored, what the output looks like, or whether there are side effects.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is one short sentence with no filler, and the key domain ('clock calls') is placed at the end. It is concise, though the brevity sacrifices needed detail.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with no output schema and no annotations, this description is incomplete: it does not state the return value, whether any parameters affect the result, or how the zones should be passed to clock/timezone calls. The agent could call it, but would not know what to do with the result.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, but the parameter descriptions describe generic validation/hint fields (e.g., Git ref, URL, city, feed, JSON, path) that are unrelated to IANA timezone names. The tool description adds no mapping between these parameters and the tool's behavior, so the schema is more confusing than helpful for this tool.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description identifies the resource (IANA timezone names) and context (clock calls), but it is a noun phrase with no verb; it doesn't explicitly say whether the tool lists, validates, or returns these names. This is barely more than a gloss on the tool name 'iana-zones'.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

'For clock calls' implies a use context, but there is no guidance about when to prefer this tool over siblings such as 'timezone' or 'utc-time', nor any exclusion criteria. An agent must infer the workflow.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description must carry the behavioral disclosure burden. 'Fetch' clearly implies a read-only network operation and 'group counts only' signals that full content is not returned, but the description omits details like which inputs are ignored, potential failure modes, or whether the URL must be public.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, front-loaded sentence with no filler. It delivers the core purpose and output scope efficiently, earning every word.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has 9 optional parameters, no annotations, and no output schema, yet the description only provides a one-line summary. An agent cannot tell which parameter to supply for the robots.txt URL or host, making the definition incomplete for reliable invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the baseline is 3. The description does not map any of the 9 parameters to the robots.txt target, and none of the schema descriptions mention robots.txt, but each parameter is individually described well enough to stand alone.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb ('Fetch'), a specific resource ('public robots.txt'), and a precise output scope ('return group counts only'). This clearly distinguishes inspect-robots from siblings like web-fetch, fetch-status, and domain-shape.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives no guidance on when to use this tool instead of alternatives such as web-fetch or fetch-status. There is no mention of the intended use case, exclusions, or conditions under which another sibling would be more appropriate.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The note 'Key discarded.' is a useful side-effect disclosure, but with no annotations present the description carries the full burden of behavioral transparency. It does not describe what the check returns, whether it validates, normalizes, or communicates success/failure, or what happens with the other supplied parameters.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is very short and front-loaded, with no filler words. However, it is so terse that it sacrifices necessary detail about parameters and output, which keeps it from being fully effective conciseness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the mismatched schema properties, no annotations, and no output schema, the description is not enough for an agent to invoke the tool correctly. It omits which parameter is required, what a valid 'shape' is, and what result the agent should expect.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has descriptions, but they are generic and disconnected from the tool's stated purpose: none of the properties is explicitly identified as the Jira key. The description adds no parameter mapping beyond saying a 'key' is discarded, so an agent cannot confidently select which input to supply.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states the action ('Check') and the resource ('Jira issue key shape'), which clearly identifies what the tool is about and distinguishes it from sibling shape-checking tools for other domains. It is concise but does not expand on what 'shape' entails beyond the name.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is given about when to invoke this tool vs. alternatives like domain-shape or github-repo-shape. The description does not mention conditions, prerequisites, or exclusions, leaving usage entirely to inference.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description must carry behavioral disclosure, and it does provide one useful detail: 'Body discarded,' so the agent knows the response is just the status. However, it omits side effects, error/redirect behavior, and what happens with the other eight accepted parameters, and there is no output schema to compensate.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two short clauses with no filler; 'Body discarded' earns its place as a meaningful behavioral qualifier. It is somewhat too terse to cover the tool's nine-parameter schema, but as a writing-quality matter it is clear and front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given nine optional parameters, no annotations, no output schema, and many sibling status/URL tools, this one-liner is not enough for confident selection and invocation. It covers only the URL-status case and leaves the agent to guess response shape, failure modes, and applicability of the other fields.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the baseline is 3, but the tool description adds little to parameter meaning and conflicts with the schema's url description, which says 'HTTPS URL to normalize or cite' rather than a docs URL whose status is checked. The description also does not connect 'public library docs URL' to the appropriate field or explain why the other parameters exist.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a concrete outcome—HTTP status for a public library docs URL—and adds that the body is discarded, signaling a lightweight status check. It is not a tautology and roughly differentiates from a full fetch, though it never explicitly says 'returns' and does not contrast with fetch-status or normalize-url.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance about when to use this tool instead of fetch-status, browser-url-ok, normalize-url, or other siblings. The qualifier 'public library docs URL' weakly implies a scope, but no when-to-use or when-not-to-use conditions are stated.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

There are no annotations, so the description must carry the behavioral burden. It does disclose a meaningful trait: values are discarded and only keys matter. However, it does not mention the return format, handling of invalid JSON, or how nested objects are treated.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two short sentences with no filler, and the primary action is front-loaded. Every sentence adds relevant information, making this an appropriately concise definition.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no annotations, no output schema, and a schema with many optional parameters, the description is incomplete. It does not state what the tool returns, how the JSON input is selected among the parameters, or what happens with invalid or non-object input.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Though the schema has 100% parameter description coverage, the tool description does not connect 'JSON object' to the actual `json` parameter, and the schema labels that parameter as 'JSON text to validate; discarded after the check', which conflicts with the counting purpose. With seven optional parameters and no mapping guidance, an agent may select the wrong input.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a clear action ('Count keys') and resource ('a JSON object'), and 'Values discarded' explains what is ignored. It is distinguishable from siblings like validate-json by the counting intent, though it does not specify whether the count is top-level or recursive.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The usage is implied: use this tool when you need to count keys in a JSON object. However, it gives no explicit guidance about when not to use it or which sibling tools (e.g., validate-json) cover related but different needs.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the behavioral burden, and it does disclose the primary behavior: output fields and the dropping of query strings and fragments. However, it does not explain what happens with the other accepted inputs such as city, feed, json, path, or ref, nor how multiple inputs interact.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two short sentences, front-loaded with the action and output, followed by the key transformation. Every sentence earns its place and there is no filler or duplication of schema text.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool exposes nine optional parameters, has no output schema, and no annotations, yet the description only covers the URL normalization path. It is adequate for a simple single-url call, but it does not explain what happens when other parameters are supplied, how the returned components are structured, or when to choose this tool over its many siblings.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the structured data already carries most parameter meaning. The description adds useful context for the url parameter by specifying that query strings and fragments are dropped, but it does not clarify the role of the remaining optional parameters.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a concrete action and output: returning origin, host, and path for a URL, which distinguishes it from sibling URL checkers. It is not a 5 because it ignores the 'or cite' behavior hinted at in the url parameter description and the unrelated optional parameters in the schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no explicit when-to-use or when-not-to-use guidance, and no alternative sibling tool is named. The intended usage must be inferred from the tool name and output phrase, which is risky given the nine optional parameters and many related URL tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the burden of behavioral disclosure. It does add one meaningful trait: 'No browser is launched.' However, it does not explain whether any network request occurs, whether the check is purely syntactic, what side effects might happen, or what 'can be opened' actually entails.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise: two short sentences with no filler. The main purpose is front-loaded, and the critical caveat about no browser launch is placed immediately after the purpose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description leaves important context missing. It does not explain what the return value looks like (and there is no output schema), which of the nine optional parameters should be provided, or what 'can be opened' means in practice. Given the unusual set of parameters and the lack of output schema, this is not complete enough for confident invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the parameters are already well documented. The tool description adds no parameter-level meaning, but the schema descriptions are rich enough that the baseline of 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Description states a clear action ('Check whether a URL can be opened') and a useful caveat ('No browser is launched'), which partially distinguishes it from sibling tools like browser-url-ok. However, 'can be opened' is somewhat ambiguous—it could mean syntactic validity, reachability, or something else—and no sibling is explicitly named.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to choose this tool over alternatives, no exclusions, and no mention of prerequisites. The 'No browser is launched' statement hints at a lightweight check, but it does not explicitly tell an agent when to use this vs browser-url-ok, fetch-status, or web-fetch.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description adds a useful behavioral detail: 'Query discarded' indicates the input is not retained or used beyond the count. However, with no annotations, it does not cover other behavioral aspects such as return format, errors, or whether any external service is involved.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two short sentences, front-loaded with the action and followed by a useful behavioral note. There is no filler or repetition; every word earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple pure-count tool, this is nearly complete: the relevant parameter is identifiable from the schema, and 'Count characters' makes the output obvious even without an output schema. The main gap is that the description does not explicitly say only the query parameter is used despite the other optional parameters present.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so each parameter is already documented. The description maps the purpose to the 'query' parameter but adds no parameter-level detail beyond what the schema already provides.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific action ('Count characters') and a resource ('a search query'), so it is clear what the tool does. It does not explicitly differentiate from sibling tools, but the resource and tool name are specific enough for selection.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The intended use is implied: call this when a character count for search text is needed. There is no explicit when-not-to-use guidance or reference to alternative tools, but the purpose itself provides reasonable context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden of explaining behavior, and it simply says 'short catalog' without disclosing side effects, return format, or that several parameters are described as discarded after shape checks. The actual behavioral clues live only inside the input schema, not in the tool description.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is brief, but it is under-specified rather than efficiently concise. A single sentence with no structure, no input/output context, and no indication of how the parameters are used does not earn its place as a useful guide.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given seven heterogeneous parameters, no output schema, and no annotations, this description is far from complete. An agent cannot infer what response to expect, which parameter to provide, whether this is a lookup or validation tool, or how the 'catalog' relates to the input fields.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema contains seven properties, each with its own description, so schema coverage is high and the baseline is 3. The tool description itself adds no parameter information, but the schema already documents each field, including notes like 'discarded after the shape check.'

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description, 'Short catalog of common HTTP status codes,' is nearly a restatement of the tool name and has no operational verb such as 'returns,' 'lists,' or 'validates.' It names a resource but fails to explain what the tool actually does or how the many unrelated input parameters relate to it.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is given about when to use this tool versus alternatives like fetch-status or web-fetch. There is no mention of appropriate use cases, prerequisites, or exclusions, leaving an agent to guess when this tool should be chosen.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the behavioral disclosure burden. It does state the key behavior: a fixed template is returned and the prompt is discarded, implying no real processing. However, it does not explicitly say that all nine parameters are ignored or that no network/disk access occurs, and the url/host/zone parameter descriptions could mislead an agent into thinking those inputs are used.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two short sentences, front-loads the purpose, and contains no filler. The 'Prompt discarded' clause earns its place as a behavioral caveat. This is an appropriately minimal description for a simple fixed-template tool.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description is minimally adequate for a tool that returns a fixed template and needs no required parameters. However, the nine optional parameters create a confusing surface: the description does not explain why they exist, whether any should be passed, or what the three-step template actually contains. Without an output schema, an agent has to infer too much from the terse text.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the baseline is 3 even without parameter details in the tool description. The description itself adds no parameter-level meaning beyond 'Prompt discarded,' which vaguely hints that inputs should not be relied on. The schema descriptions provide the actual parameter semantics.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Return') and the resource ('a three-step thinking template'), so the core purpose is unambiguous. It also adds the caveat 'Prompt discarded,' which distinguishes it from analysis tools. However, it doesn't explicitly differentiate from sibling tools or explain why an agent would use this over a more specific tool.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is given about when to use this tool versus the 27 sibling tools. 'Prompt discarded' warns that the input will not be processed, but it doesn't say 'use for generic thinking scaffolding' or 'not for URL/timezone/weather operations.' An agent selecting among siblings receives no routing help.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the behavioral disclosure burden. It only says 'Current time in a named IANA timezone' and does not mention whether other parameters are ignored, how invalid timezones are handled, or what format the returned time takes. Some behavioral notes appear in the schema properties, but the tool description itself adds little beyond the bare function.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single short sentence with no filler. It front-loads the essential meaning and earns its place by stating the tool's core behavior efficiently.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description is adequate for a simple time lookup: it identifies the output and the required class of input. However, with nine schema properties, no output schema, and no annotations, it leaves ambiguities around response format, invalid-input behavior, and why the schema exposes many unrelated parameters.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the baseline is 3. The description reinforces the relevance of the 'zone' parameter by mentioning 'named IANA timezone,' but it adds no formatting details, no explanation of the other eight unrelated-looking properties, and no guidance on which parameters matter.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's output ('current time') and its key input ('named IANA timezone'), making the core function identifiable. It doesn't explicitly name or contrast siblings like utc-time or iana-zones, but the phrase 'named IANA timezone' gives enough implicit differentiation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is only implied: if you need the current time for a named IANA timezone, this tool is the candidate. There is no explicit when-not-to-use guidance, no alternatives mentioned, and no clarification of how this differs from utc-time or iana-zones.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden of behavioral disclosure. It only states 'Current UTC timestamp' and gives no indication of how the nine input parameters are handled, what the output looks like, or whether the tool has side effects. The schema hints that several parameters are discarded, but the description does not confirm this behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is one concise, front-loaded sentence with no filler. It communicates the core function immediately and wastes no words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Despite the tool appearing simple, the presence of nine optional parameters with no required fields and no output schema creates ambiguity. The description does not explain whether these parameters should be passed, ignored, or are accepted for compatibility. An agent cannot confidently determine the exact return format or whether any inputs affect the result.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the baseline is 3. The description itself adds no parameter-level meaning, but the input schema already documents each parameter. The fact that many parameters are irrelevant to the stated purpose remains confusing, though this is not the description's omission given the schema coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a clear verb/resource combination: it returns the current UTC timestamp. However, it does not distinguish itself from the sibling 'timezone' tool or explain whether the result is an ISO string, Unix time, or other format.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided about when to use this tool versus sibling tools like 'timezone' or 'iana-zones'. There is no mention of alternatives, exclusions, or conditions under which utc-time is the appropriate choice.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description explicitly discloses a key behavioral trait: 'The body is discarded.' This goes beyond a simple statement of function and is important for agents concerned with side effects or persistence. Since no annotations are provided, this disclosure carries the full transparency burden, though it could also mention return format or error behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two short sentences that waste no words. The primary action is front-loaded, and the discard note adds critical information without bloating the text. Every word earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description is too sparse given the schema's eight parameters. It doesn't explain which parameter to pass, why the other parameters exist, or what the tool returns. There is no output schema, and the description doesn't specify return value or behavior for invalid JSON, leaving gaps for an agent trying to invoke it correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

All schema parameters have descriptions, so schema coverage is high and the baseline is 3. The description does not add meaning beyond the schema; it uses the term 'body' while the schema refers to the 'json' parameter, creating a slight mapping gap. It doesn't clarify which parameter is actually used for validation, leaving the agent to rely solely on the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a clear verb and resource: 'Check whether a body is valid JSON.' This distinguishes it from sibling validators like file-path-ok or wiki-title-ok. However, the generic term 'body' and the presence of many unrelated schema parameters introduce slight ambiguity, so it doesn't fully achieve a 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies a validation use case but provides no explicit guidance on when to use this tool versus alternatives, nor any exclusions. For example, it doesn't say 'Use this when you need to verify JSON syntax before parsing.' The need is inferred from the name and description.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only mentions the Open-Meteo source and does not explain that most of the nine input parameters are ignored or discarded, nor does it disclose output format, units, network dependency, or error behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single focused sentence with no filler. It front-loads the core purpose and is appropriately concise for a simple tool, even though it omits behavioral context.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given that the tool has 9 optional parameters, no output schema, and no annotations, a one-sentence description is insufficient. It fails to clarify which parameter actually matters, why unrelated parameters exist, and what the agent should expect in return.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the baseline is 3. The description adds no new parameter meaning beyond naming 'city', which the schema already describes. It also does not help the agent understand the many unrelated parameters in the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's function: reporting current temperature for a city using Open-Meteo. It is specific and not a tautology, though it does not differentiate itself from sibling tools explicitly.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is implied: an agent would use this when it needs the current temperature for a city. However, there are no explicit alternatives, exclusions, or guidance about when not to use this tool, especially with many sibling hint tools available.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the burden and does disclose a key behavior: the response body is discarded. It also limits scope to public URLs, but it omits other relevant behaviors such as redirect handling, timeouts, errors, or output format.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Eleven words in two sentences, with the core output statement first and no filler. Every part earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Despite the clear one-line purpose, the definition is incomplete for safe selection and invocation: with 9 optional parameters, no output schema, and many similar siblings, the agent is left to guess which parameter to supply and how this tool differs from fetch-status or browser-url-ok.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the baseline is 3; the tool description adds little beyond 'public URL.' It does not clarify which parameter should receive the URL or how the nine optional fields relate to the stated fetch behavior.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a concrete action and outcome: it fetches a public URL and returns HTTP status and content type, with the body discarded. This is not a tautology, but it does not explicitly distinguish it from similar siblings like fetch-status or browser-url-ok.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The phrase 'public URL' and 'Body discarded' imply the tool is for header/availability checks rather than content retrieval. However, it gives no explicit when-to-use or when-not-to-use guidance and never mentions alternative tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are present, so the description carries the full burden of behavioral disclosure; it adds only 'Title discarded after the call,' a privacy/discard note. It does not disclose whether the tool hits Wikipedia's API, what happens when a title does not exist, whether any state is modified, or any rate-limit/error behavior. For a tool with no annotations, this is insufficient.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two sentences with no filler and leads with the purpose, followed by a behavioral note. It is efficient and front-loaded, though the second sentence is vague enough that it could be clearer.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with a seven-property input schema, no output schema, and no annotations, this description is far too thin: it never specifies the input shape, return value, or failure semantics. The mismatch between the description and the schema makes safe invocation impossible.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Every schema property has a description, but none mentions a Wikipedia title, and the description adds no mapping to the single required piece of input. The schema properties describe Git refs, URLs, cities, feeds, hosts, JSON, and paths, which are unrelated to the stated purpose. An agent cannot tell which parameter to populate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The first sentence states a specific verb and resource: 'Check whether a Wikipedia title exists,' and the title-specific wording helps distinguish it from sibling URL/file/JSON checkers. However, the input schema contains no 'title' property and instead lists ref, url, city, feed, host, json, and path, so the stated purpose does not map to any declared input. The description is not a tautology, but it leaves the tool's actual contract unclear.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies the tool is for verifying Wikipedia titles, so an agent can infer a use case. It does not explicitly state when to choose this over sibling shape-checkers or when not to use it, and no alternatives are named. The context is clear but the boundary conditions are left implicit.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.